
Journal of Systems Engineering and Electronics ›› 2026, Vol. 37 ›› Issue (4): 1225-1240.doi: 10.23919/JSEE.2026.000151
• SYSTEMS ENGINEERING • Previous Articles
Wei Wu1(
), Wenhao Bi1,2,*(
), Mengqi Zhang1(
), An Zhang1,2(
)
Received:2024-11-29
Online:2026-08-18
Published:2026-09-03
Contact:
Wenhao Bi
E-mail:wuwei_ww@mail.nwpu.edu.cn;biwenhao@nwpu.edu.cn;zhangmg@mail.nwpu.edu.cn;zhangan@nwpu.edu.cn
Supported by:Wei Wu, Wenhao Bi, Mengqi Zhang, An Zhang. Threat assessment method for air defense of warship based on variable weights intuitionistic fuzzy TOPSIS[J]. Journal of Systems Engineering and Electronics, 2026, 37(4): 1225-1240.
Table 1
Target inherent attribute information"
| Target | Combat capability | Type | Maneuvering capability | RCS/m2 |
| M1 | 7.5 | Medium(relatively certain) | Relatively high(relatively certain) | 0.15 |
| M2 | 8.5 | Very high(very certain) | Medium(relatively certain) | 12 |
| M3 | 12.6 | High(relatively certain) | Very high(very certain) | 0.08 |
| M4 | 18.1 | High(very certain) | Relatively high(relatively certain) | 0.36 |
| M5 | 9.2 | Relatively high(certain) | High(relatively certain) | 8 |
| M6 | 3.1 | Low(very certain) | Low(relatively certain) | 10 |
| M7 | 7.5 | Very high(very certain) | Medium(very certain) | 0.56 |
| M8 | 11 | Very high(very certain) | Relatively low(relatively certain) | 0.8 |
Table 2
Target spatial situation information"
| Time | Target | Distance/km | Velocity/Ma | Altitude/m | Relative azimuth angle/(°) |
| M1 | 30 | 0.96 | 2000 | 25.5 | |
| M2 | 65 | 0.75 | 65.5 | ||
| M3 | 60 | 1.30 | 3.2 | ||
| M4 | 140 | 0.65 | 4.2 | ||
| M5 | 55 | 0.86 | 23.2 | ||
| M1 | 35 | 0.92 | 45.5 | ||
| M2 | 67 | 0.79 | 177.6 | ||
| M3 | 70 | 1.35 | 178.5 | ||
| M4 | 135 | 0.68 | 14.2 | ||
| M5 | 65 | 0.94 | 43.2 | ||
| M6 | 125 | 0.55 | 92.5 | ||
| M7 | 80 | 0.70 | 2.1 | ||
| M8 | 80 | 5.50 | 3.5 |
Table 3
Target combat intention information"
| Time | Target | ||||||||
| M1 | 0.125 | 0.331 | 0.434 | 0.110 | 0 | 0 | 0 | 0 | |
| M2 | 0.075 | 0 | 0.127 | 0.687 | 0 | 0 | 0.111 | 0 | |
| M3 | 0.862 | 0.138 | 0 | 0 | 0 | 0 | 0 | 0 | |
| M4 | 0.887 | 0.113 | 0 | 0 | 0 | 0 | 0 | 0 | |
| M5 | 0.124 | 0.100 | 0.137 | 0.108 | 0 | 0 | 0.531 | 0 | |
| M1 | 0.302 | 0.509 | 0.081 | 0.028 | 0 | 0 | 0.08 | 0 | |
| M2 | 0 | 0 | 0 | 0.152 | 0 | 0 | 0 | 0.848 | |
| M3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
| M4 | 0.740 | 0.145 | 0 | 0 | 0 | 0 | 0 | 0.115 | |
| M5 | 0 | 0 | 0.197 | 0.107 | 0 | 0 | 0.62 | 0.080 | |
| M6 | 0 | 0 | 0 | 0 | 0.9 | 0.1 | 0 | 0 | |
| M7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| M8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Table 4
Transformation relationship between fuzzy evaluation language scale and IFN."
| Evaluation language scale | IFS | ||
| 1 | 0 | 0 | |
| 0.85 | 0.10 | 0.05 | |
| 0.65 | 0.20 | 0.15 | |
| 0.4 | 0.40 | 0.20 | |
| 0.2 | 0.65 | 0.15 | |
| 0.1 | 0.85 | 0.05 | |
| 0 | 1 | 0 | |
Table 6
IFSs of the target inherent attribute indexes"
| Target | Combat capability | Type | Maneuvering capability | RCS |
| M1 | ||||
| M2 | ||||
| M3 | ||||
| M4 | ||||
| M5 | ||||
| M6 | ||||
| M7 | ||||
| M8 |
Table 7
IFSs of the target inherent attribute indexes IFSs of the target spatial situation indexes at ${{\boldsymbol{t}}_{\boldsymbol{0}}}$ and ${{\boldsymbol{t}}_{\boldsymbol{1}}}$"
| Time | Target | Distance | Velocity | Altitude | Relative azimuth angle |
| M1 | |||||
| M2 | |||||
| M3 | |||||
| M4 | |||||
| M5 | |||||
| M1 | |||||
| M2 | |||||
| M3 | |||||
| M4 | |||||
| M5 | |||||
| M6 | |||||
| M7 | |||||
| M8 |
Table 8
Results of target threat assessment by utilizing the proposed algorithm at ${{\boldsymbol{t}}_{\boldsymbol{0}}}$ and ${{\boldsymbol{t}}_{\boldsymbol{1}}}$"
| Time | Parameter | Result |
| Threat degree | {0.448, 0.115, 0.999, 0.788, 0.128} | |
| Ranking | ||
| Threat degree | {0.182, 0.072, 0.104, 0.384, 0.197, 0.027, 0.929, 0.959} | |
| Ranking |
Table 9
Results of target threat degree by utilizing Algorithm 1 at ${{\boldsymbol{t}}_{\boldsymbol{0}}}$ and ${{\boldsymbol{t}}_{\boldsymbol{1}}}$"
| Time | Parameter | Result |
| Threat degree | {0.723, 0.031, 0.921, 0.476, 0.099} | |
| Threat degree | {0.397, 0.156, 0.484, 0.432, 0.135, 0.032,0.823, 0.774} |
Table 11
Results of target threat degree by utilizing algorithm 2 at ${{\boldsymbol{t}}_{\boldsymbol{0}}}$ and ${{\boldsymbol{t}}_{\boldsymbol{1}}}$"
| Time | Parameter | Result |
| Threat degree | {0.375, 0.225, 0.887, 0.658, 0.443} | |
| Threat degree | {0.232, 0.112, 0.035, 0.456, 0.334, 0.075, 0.773, 0.875} |
Table 12
Results of target threat degree by utilizing algorithm 3 at ${{\boldsymbol{t}}_{\boldsymbol{0}}}$ and ${{\boldsymbol{t}}_{\boldsymbol{1}}}$"
| Time | Parameter | Result |
| Threat degree | {0.546, 0.336, 0.732, 0.442, 0.521} | |
| Threat degree | {0.425, 0.352, 0.586, 0.243, 0.212, 0.113, 0.786, 0.723} |
Table 13
Ranking results of the target threat by utilizing the four algorithms"
| Time | Algorithm | Ranking |
| Proposed method | ||
| Algorithm 1 | ||
| Algorithm 2 | ||
| Algorithm 3 | ||
| Proposed method | ||
| Algorithm 1 | ||
| Algorithm 2 | ||
| Algorithm 3 |
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